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Preparing the TAU performance system for exascale and beyond
Kevin A. Huck
, Sameer Shende
, Allen D. Malony
,
Camille Coti
, Wyatt Spear
, Jordi Alcaraz
, Dewi Yokelson
, Srinivasan Ramesh
, Monil Mohammad Alaul Haque
, Chad Wood
, Nick Chaimov
, Cameron Durbin
, Alister Johnson
, Jacob Lambert
, Izaak Beekman
École de technologie supérieure
Software and Information Technology Engineering Department
SYNCHROMÉDIA - Telepresence Multimedia Communications Laboratory
University of Oregon
NVIDIA
Oak Ridge National Laboratory
Stability AI Ltd
Inc
Advanced Micro Devices
Research output
:
Contribution to journal
›
Journal Article
›
peer-review
2
Citations (Scopus)
Overview
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Keyphrases
Performance System
100%
Computing Programs
100%
Exascale
100%
Utility Performance
100%
Exascale Computing
100%
Python
66%
Exascale Systems
66%
Tool Support
33%
Performance Analysis
33%
Source Code
33%
System Architecture
33%
Java
33%
Function Method
33%
Program Application
33%
Parallel Programming
33%
C + +
33%
Java Virtual Machine
33%
PyTorch
33%
TensorFlow
33%
Programming Model
33%
OpenMP
33%
OpenACC
33%
Fortran
33%
Namespace
33%
CUD A
33%
Kokkos
33%
Event-based Sampling
33%
Performance Information
33%
Horovod
33%
Automatic Instrumentation
33%
Raja
33%
Utility Projects
33%
C++ Language
33%
Proxy Application
33%
Computer Science
Systems Performance
100%
Utility Analysis
100%
Exascale Computing
60%
Exascale System
40%
Python
40%
Programming Model
20%
Performance Analysis
20%
Parallel Program
20%
System Architecture
20%
Java Virtual Machine
20%
OpenACC
20%
Programming Language Feature
20%
Performance Information
20%
Fortran
20%
Application Program
20%
Basic Statement
20%
Application Proxy
20%
TensorFlow
20%